The Data Intelligence Platform for Healthcare and Life Sciences

Interoperability

Connect healthcare data across electronic health records (EHRs), payers and business apps to improve collaboration and outcomes.

Operating efficiency

Eliminate data silos and automate manual processes to enable real-time hospital operations and reduce operational costs.

Clinical note review

Apply natural language processing (NLP) to extract insights from unstructured notes, reducing staff workload and improving accuracy.

Quality of care

Empower providers with actionable data by delivering timely insights that improve care quality metrics.

Network and referrals

Match patients to high-performing providers using real-time analytics to improve care coordination.

Disease risk predictions

Leverage AI and genomics to predict disease onset, reduce readmissions and guide preventive care for better health and lower costs.

Patient engagement

Boost engagement with tailored digital tools and AI-powered support to increase adherence and satisfaction.

Retention

Build loyalty through smarter engagement with insights to address needs and keep patients engaged in care proactively.

Enterprise interoperability

Unify health data sources and meet CMS interoperability mandates with automated, scalable pipelines for better insights.

Benefits administration

Modernize benefits management by automating coverage rules and entitlement verification, reducing manual effort and errors.

Claims management

Use advanced analytics to improve payment integrity and identify anomalous claims patterns, protecting revenue and reducing financial losses.

Quality of care

Analyze data to identify care gaps, measure performance and boost quality scores for better reimbursement.

High-value provider networks

Leverage data to build cost-effective provider networks and guide members to high-value care options.

Utilization management

Use intelligent workflows to automate decisions and reporting, enabling faster authorizations and reducing operational friction.

Disease onset prediction and progression

Use predictive models to identify at-risk members for proactive intervention, improving population health and preventing hospital readmissions.

Member experience

Boost member engagement with tailored digital tools, automated reminders and AI-powered support to improve adherence and satisfaction.

Member retention

Understand member satisfaction and identify churn risks early by analyzing interaction data and sentiment trends.